The complete deployment guide for $9.99 $4.77, or start with 3 free chapters
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Your app runs perfectly in development. Then you deploy and nothing works. Environment variables missing, database won't connect, secrets exposed.
AI tools generate code with hardcoded credentials. You commit without thinking. Now your database password is public forever.
No testing. No rollback plan. Direct file edits in production at 2am. When it breaks (and it will), you have no idea what changed or how to undo it.
Every day you spend "figuring out deployment" costs you potential customers.
Your competitor just shipped a new feature while you're debugging environment variables.
The Reality: AI can write code fast. But it can't architect deployments or explain why your app breaks in production.
Full disclosure: I charge $200/hour for deployment consulting. A typical engagement is 10 to 15 hours to set up this exact workflow. This guide contains everything I'd tell you in those sessions - the same commands, the same configs, the same "don't do this or you'll get hacked" warnings. You're getting $2,000+ of consulting for less than a Chipotle bowl.
From Replit to production in one day, for $36/month
This exact workflow deployed 100+ production apps
Fast iteration with AI. No local setup. Break things without fear.
Your data lives here, not in Replit. Never lose customer data when your Repl sleeps.
Automatic sync from Replit. Proper version control. No more "it works on my machine."
Push a git tag. GitHub Actions deploys to AWS. Rollback in 30 seconds.
Zero DevOps expertise required • No Kubernetes • No Docker complexity • Easy technology that actually works
12 chapters + 4 appendices with copy-paste commands throughout
Why simple beats complex every time
Complete system overview
Setup, common gotchas, AI prompts
Never lose data, proper backups
Automatic sync, version control
One command deploys, one command rolls back
Keep API keys out of GitHub
Fix bugs without SSH-ing into production
Know when things break before users do
Mistakes that kill startups
When and how to scale up
Knowing when you've outgrown this workflow
Get the complete guide now and start shipping today
🐜 Ant-Free Guarantee: Learn proper secrets management so I never have to come to your house in the middle of the night and leave fire ants in your yard. (Yes, this is a real thing in the book.)
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"Less than one hour with a DevOps consultant. But unlike a consultant, you can reference this at 2am when things break."
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I get startups from janky AI prototype to production so they can get more paying customers.
I've been deploying web apps since before AWS existed. Started in the '90s building PHP websites when "dedicated servers" lived in closets, and I've been writing production code ever since.
I've deployed 100+ apps from Replit, Cursor, and Lovable to production AWS. I've seen every deployment disaster: exposed API keys, databases that "just stopped," migrations that deleted customer data. I've managed 70-person engineering teams and $10MM+ cloud budgets. I've debugged production at 3am so you don't have to.
Over 25+ years, I've personally built dozens of MVPs from ideation to first users. I've worked at startups that failed and ones that succeeded. The difference? The successful ones focused on customers more than they fought with deployments.
This guide is everything I'd tell you if you hired me for $200/hour - but for $4.77. The same workflows, the same commands, the same hard-learned lessons from production incidents that cost real money.
Currently building production systems with Python, AI/ML, and easy technology that actually works.
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